Updating “A dataset on patient-individual lymph node involvement in oropharyngeal squamous cell carcinoma” with an additional dataset from a second institutionzenodo

With this update, we add 164 patients with newly diagnosed oropharyngeal squamous cell carcinoma (OPSCC) from the University Hospital Vall d'Hebron (HVH) in Barcelona, Spain, to the previously published cohort of 287 OPSCC patients from the University Hospital Zurich (USZ). For each patient, we...

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Bibliographic Details
Main Authors: Sergi Benavente, Roman Ludwig, Panagiotis Balermpas, Jan Unkelbach
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Data in Brief
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Online Access:http://www.sciencedirect.com/science/article/pii/S2352340925002781
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Summary:With this update, we add 164 patients with newly diagnosed oropharyngeal squamous cell carcinoma (OPSCC) from the University Hospital Vall d'Hebron (HVH) in Barcelona, Spain, to the previously published cohort of 287 OPSCC patients from the University Hospital Zurich (USZ). For each patient, we report the clinical involvement of lymph node levels (LNLs) I-V and VII on both sides of the neck. LNL involvement is assessed separately for the available diagnostic modalities comprising computed tomography (CT), magnetic resonance imaging (MRI), and/or 18FDG-positron emission tomography (PET/CT). For 10 surgically treated patients, we also report pathological LNL involvement after neck dissection. Additionally, we report clinicopathological factors such as sex, age, alcohol and nicotine abuse, HPV status, TNM stage, tumor subsite (ICD-10 code) and tumor volume, and whether the tumor extended over the mid-sagittal plane.The additional data is made available in the same CSV file format as the records of the initial dataset. The new data represents a valuable update to the original records that substantially increases the size of the cohort. In addition, it allows assessing differences between datasets, which provides information on potential patient biases. Due to the same data format, it is straightforward to reproduce any analysis that was done on the original data with the extended dataset.
ISSN:2352-3409